Digital economy has become a key force in reshaping the global competitive landscape. However, the problems of risk transmission caused by the interconnection of digital systems and the core concentration of risk under the trend of data capitalization make the challenge of information security increasingly severe, which restricts the sustainable development of digital economy. Therefore, it is necessary to deeply analyze the internal relationship between information security and digital economy, and build a four-dimensional empowerment mechanism of "environmental construction - factor circulation - system stability - innovation driven". Information security builds a credible interactive environment through technological empowerment and institutional norms, promotes the safe and efficient circulation of data elements, enhances the stable operation ability of digital systems, guides the sustainable innovation of digital economy, and empowers the high-quality development of digital economy. This provides theoretical support and practical guidance for China to break through key technical constraints, safeguard national data sovereignty, and realize the leap from a digital power to a digital leader.

Purpose: This study aims to analyze the influence of financial literacy, social entrepreneurship, and Pentahelix collaboration on the performance of MSMEs in Karanganyar Regency, with business innovation as a mediating variable. This study aims to understand how internal and external factors interact to improve the performance and competitiveness of MSMEs in the era of digital economy transformation. Research Methodology: A survey of 382 MSME actors in Ngargoyoso, Karangpandan, and Tawangmangu was conducted. Data were analyzed using SEM-PLS with SmartPLS software, testing the outer model, inner model, and mediation to assess direct and indirect relationships. Results: Financial literacy and social entrepreneurship impact MSME performance, while Pentahelix collaboration does not. All three positively influence innovation, which enhances performance. Innovation mediates the relationship between financial literacy and Pentahelix collaboration, but not social entrepreneurship. Conclusions: This study expands the application of the theory of Resource-Based View and open innovation theories by emphasizing that innovation is a strategic bridge between internal resources and external collaboration in strengthening MSME performance and sustainability. Limitations: This study only covers three sub-districts in Karanganyar Regency; therefore, the generalization of results needs to be done carefully. Contributions: This study provides insights into how financial literacy, social entrepreneurship, and pentahelix collaboration impact MSME performance, with business innovation as a mediator. It extends the Resource-Based View and open innovation theories, offering valuable implications for enhancing MSME competitiveness and sustainability in the digital economy.

Research on the impact of the digital economy on high-quality development of China’s new urbanization

ABSTRACT The rise of the digital economy has reshaped urban competition, with digital entrepreneurship now at the core of this competition. Yet this phenomenon remains under-theorised and spatially blind. To address this gap, digital entrepreneurs (DEs) – defined as those whose core value-creation activities are carried out in the digital realm and are only made possible through digital technologies – are examined using Douyin vloggers as a representative case. Based on vlogger data from Chinese cities in 2023, fixed effects models are employed for empirical analysis, accompanied by a series of robustness checks. Findings reveal a positive correlation between the number of vloggers in a city and geographical factors such as the mobile phone user base, talent power and the presence of preferential digital-economy policies. Conversely, a negative correlation is observed with per capita gross domestic product. Moreover, divergent agglomeration logics are uncovered among DEs: less influential vloggers tend to be driven by necessity and infrastructure access, whereas highly influential vloggers cluster in technologically advanced cities with high-end urban amenities.

ABSTRACT Establishing low-carbon cities is a crucial strategy for reducing emissions, essential to tackling global climate change, reducing emissions, and achieving green development. This paper evaluates the impact of low-carbon city pilot (LCCP) policy on carbon emissions employing the difference-in-differences method. Our findings show that LCCP policy can significantly reduce carbon emissions. LCCP policy reduces carbon emissions by strengthening government environmental governance, promoting green innovation in enterprises, and raising public low-carbon awareness, with green innovation being the main channel. The carbon reduction effect of LCCP policy is more pronounced in southern regions, cities with high manufacturing concentration, green invention patents, and patents related to digital economy industries. Phased implementation of LCCP policy reduces carbon emissions, demonstrating its promotional effect. Our findings underscore that LCCP policy has long-lasting benefits for emission reduction, offering the important policy guidance for reaching carbon neutrality and fostering the green economy transformation.

Under the background of coordinated promotion between dual-carbon goals and digital economy , how enterprises can balance green innovation with economic benefits through environmental regulation, while leveraging digital transformation to drive green development, has become a critical issue. This study treats China's 2018 environmental protection tax (EPT) implementation as a quasi-natural experiment, employing difference-in-differences (DID) to examine its impact on corporate green innovation. Key findings:(1) EPT significantly promotes green innovation, with stronger effects on substantive innovation than strategic innovation; (2) Digital transformation shows a U-shaped moderating effect, which indicate that the impact of environmental protection tax on corporate green innovation varies across different stages of digital transformation; This study reveals the effects of EPT in driving corporate green innovation through dual pathways, providing practical references and management implications for achieving coordinated 'digital - green' development.

Purpose This paper aims to explore strategies for fostering emergent resilience in employees within global digital business communication. As organizations increasingly rely on digital technologies, workforce adaptability and resilience become essential for maintaining competitiveness and efficiency. This study integrates theoretical perspectives with practical applications to develop a framework that enhances workforce resilience amid technological change and globalization. Design/methodology/approach This conceptual paper applies three key theoretical frameworks: Social Learning Theory, the Technology Acceptance Model (TAM) and Diffusion of Innovations Theory. By analyzing how employees learn, adopt and integrate digital communication technologies in the workplace, this study synthesizes recent literature to identify effective training programs, digital literacy strategies and leadership approaches that support resilience. Findings The analysis highlights the importance of adaptive training programs, digital literacy development and leadership support in fostering resilience. Key findings indicate that mentorship, experiential learning and a culture of continuous upskilling contribute to employee adaptability. Challenges such as digital skill gaps, generational differences in technology adoption and resistance to change are addressed with targeted training strategies. Originality/value This paper contributes to the discourse on workforce resilience by offering a theoretically grounded and practically applicable framework for training employees in global digital business communication. By bridging theoretical models with real-world applications, it provides valuable insights for organizational leaders, HR professionals and training specialists seeking to develop adaptable and competitive workforces in an increasingly digitalized global economy.

The article is devoted to the study of the essence and signs of asset securitization, as well as determining its place in the legal system of Ukraine. It is determined that in recent years, when the national economy is at the stage of active search for means to attract large-scale investments, asset securitization is considered not only a financial mechanism, but also a strategic legal category. Making changes to the rights of claim in liquid securities allows business entities to mobilize resources, which plays a critically important role in the restoration of the housing and infrastructure sector. However, the legal significance of this process is still debatable, repeatedly creating legal uncertainty between the usual assignment of the right of claim (cession) and factoring. In general, the need to study asset securitization from the point of view of legal science is associated with comprehensive changes in the financial system of Ukraine, the need to attract investments for the purpose of post-war economic recovery and the dynamic development of digitalization. It is worth noting that the development of the digital economy leads to the emergence of new challenges, in particular the need for a legal definition of securitization of virtual assets and the use of «blockchain technologies». In turn, this requires a reassessment of the features of securitization. Securitization should be considered a complex legal institution, which includes an interdisciplinary complex of legal norms and stock market law. Therefore, a clear understanding of its place will make it possible to unify legal norms and ensure stable development of the capital market. We have determined that asset securitization in Ukraine should be considered the process of transforming future cash flows from assets (in particular, loans) into securities, which allows the originator (creditor) to obtain financing by selling rights to such flows to investors through a specially created institution (SPV). It has been established that securitization should be considered not only as an economic process, but also as a complex legal structure, which involves the assignment of the right of claim to a specially created institution (SPV) and the subsequent issuance of securities. The main features of securitization are identified, in particular, the separation of the originator’s property pool; the presence of a special entity (SPV); the change of rights of claim into financial instruments.

The proliferation of digital commerce platforms has transformed consumer behavior while simultaneously elevating environmental consciousness among Indonesian consumers. This research investigates the influence of digital eco-labels on consumer willingness to pay premium prices on marketplace platforms, specifically Shopee and Tokopedia, within Indonesian urban contexts. Employing a quantitative associative research design, this study collected data from 50 active marketplace users through purposive sampling techniques using structured questionnaires with five-point Likert scales. Multiple linear regression analysis was conducted to examine the relationships between digital eco-labels and willingness to pay premium prices, with perceived credibility and environmental knowledge as moderating variables. The findings reveal that digital eco-labels significantly and positively influence willingness to pay premium prices with a beta coefficient of 0.438 and significance level of 0.000. Perceived credibility effectively moderates this relationship with a coefficient of 0.312, while environmental knowledge demonstrates a moderating effect with a coefficient of 0.276. The research model explains 64.7 percent of the variance in willingness to pay premium prices. These empirical results confirm the applicability of Theory of Planned Behavior and signaling theory in the context of sustainable digital consumption in Indonesia. The study contributes theoretical insights into green consumer behavior within emerging market e-commerce platforms and provides practical implications for marketplace operators to develop transparent third-party verification systems for eco-labels, integrate educational content regarding sustainability, and optimize search algorithms to enhance visibility of verified sustainable products. Policy implications emphasize the necessity for governmental regulation standardizing digital sustainability labels and monitoring environmental claims in e-commerce to prevent greenwashing practices.

Can green policies and innovations digitize economies? The impact of environmental stringency, green innovation, and energy transition on the digital economy in OECD countries.

Energy transition, productivity, and digital economy: Insights from China's transport and energy development sectors

The digital economy and rural household energy consumption in China

Digital economy and corporate labor force structure: an analysis based on labor productivity efficiency

How do the digital economy and openness boost green productivity?

How do data assets enhance firm value in the digital economy: Evidence from listed tech firms

Evolution of the manufacturing industry's status in the global value chain division of labor driven by the digital economy

Impact of the digital economy on college graduates' return-to-hometown employment: Evidence from China

Abstract With the increasing scale of global data transmission, to meet the security data communication needs of the Internet of Things and 5G era, and to address traditional encryption algorithms being prone to cracking and having unsatisfactory communication efficiency, a new encryption algorithm - Advanced Encryption Standard/Secure Hash Algorithm 256-bit (AES/SHA-256) is proposed. The new algorithm optimizes the instantaneous key preprocessing process by introducing the Secure Hash Algorithm 256-bit (SHA-256), outputs the Proxy Re-Encryption (PRE) value, and generates the instantaneous key using PRE. Subsequently, the instantaneous key is introduced into the Advanced Encryption Standard (AES) to construct a more secure dynamic encryption framework. The results showed that the key preprocessing and key generation took 700 μs and 1,010 μs, respectively. The algorithm encryption and decryption processes took 1,000 μs and 800 μs, respectively. The highest number of request processes per second was 380, and the response time was 3,000 μs under a load of 50 users. The AES/SHA-256 performs better than other comparison algorithms. The application test results show that the algorithm has strong instantaneous dynamics and meets the requirements of information security transmission. The AES/SHA-256 encryption algorithm has positive significance for supporting the security of the digital economy ecosystem.

Does the development of the digital economy amplify the energy rebound effect in the transportation industry? An empirical test of a theoretical paradox

As hyperscale data centers become the backbone of the global digital economy, the complexity of managing millions of interconnected components has surpassed the limits of traditional human-led oversight. This paper proposes a Predictive Resilience framework that integrates Deep Learning (DL) architectures to address two critical operational challenges: spontaneous hardware failure and inefficient workload distribution. We introduce a multi-layered approach using Long ShortTerm Memory (LSTM) networks and Graph Neural Networks (GNNs) to analyze real-time telemetry data—including thermal gradients, power fluctuations, and network traffic patterns. Unlike reactive threshold-based monitoring, our model identifies subtle "pre-failure" signatures, allowing for proactive maintenance before outages occur. Furthermore, we demonstrate a Deep Reinforcement Learning (DRL) agent capable of dynamic workload optimization, which reassigns computational tasks in realtime to mitigate thermal hotspots and reduce total energy consumption without violating Service Level Agreements (SLAs). Experimental results indicate that the proposed framework improves Mean Time Between Failures (MTBF) by 22% and reduces operational cooling costs by 15%. This research provides a scalable blueprint for self-healing, autonomous data center environments capable of sustaining the heavy computational demands of the AI era